This repository contains the official PyTorch implementation of DD3D, a deep learning approach for monocular 3D object detection that estimates 3D bounding boxes from single camera images. The project includes training pipelines, model architectures, and evaluation code for the KITTI dataset. It uses Docker for environment reproducibility and integrates with Weights & Biases for experiment tracking.